Synonyme wurden verwendet für: learning
Suche ohne Synonyme: keywords:(learning)

1–50 von 520 Ergebnissen
|

    Precise Real-Time Factory Diagnostics Via Machine Learning - The RADE Algorithm

    Elsley, Richard K. | SAE Technical Papers | 1998
    Schlagwörter: Machine learning

    A Fuzzy System for Automotive Fault Diagnosis

    Hamilton, Brennan / Chen, Tie-Qi / Lu, Yi | SAE Technical Papers | 1998
    Schlagwörter: Machine learning

    Reinforcement Learning in the Control of a Simulated Life Support System

    Pyeatt, Larry D. / Quasny, Todd M. | SAE Technical Papers | 2004
    Schlagwörter: Machine learning

    Machine Learning for Rocket Propulsion Health Monitoring

    Schwabacher, Mark | SAE Technical Papers | 2005
    Schlagwörter: Machine learning

    Machine Learning for Detecting and Locating Damage in a Rotating Gear

    Oza, Nikunj C. / Kaul, Upender K. | SAE Technical Papers | 2005
    Schlagwörter: Machine learning

    A Neural Network Based Methodology for Virtual Sensor Development

    Nareid, Helge / Verdejo, Julian / Grimes, Michael | SAE Technical Papers | 2005
    Schlagwörter: Machine learning

    Phase Optimized Skeletal Mechanisms in a Stochastic Reactor Model for Engine Simulation

    Blurock, Edward S. / Mauss, Fabian / Tuner, Martin | SAE Technical Papers | 2005
    Schlagwörter: Machine learning

    Rapid Prototyping of Machine Learning Systems

    Neil, Paul / Brewerton, Simon | SAE Technical Papers | 2005
    Schlagwörter: Machine learning

    A Machine Learning Approach in the Design of Friction Materials for Automotive Applications: Correlation among Composition, Process Parameters and Functional Characteristics

    Portesani, Alberto / Busso, Massimo / Regis, Pierluigi et al. | SAE Technical Papers | 2006
    Schlagwörter: Machine learning

    Stochastic Analysis of Controller Area Network Message Latencies with Observable Operator Models

    Kolling, Andreas / Carpin, Stefano | SAE Technical Papers | 2009
    Schlagwörter: Machine learning

    Modeling Weather Impact on Ground Delay Programs

    Kulkarni, Deepak / Wang, Yao | SAE Technical Papers | 2011
    Schlagwörter: Machine learning

    A Machine Learning Approach to Information Extraction from Cylinder Pressure Sensors

    Bernhardsson, Bo / Henningsson, Maria / Tunestal, Per et al. | SAE Technical Papers | 2012
    Schlagwörter: Machine learning

    Modeling Weather Impact on Airport Arrival Miles-in-Trail Restrictions

    Grabbe, Shon / Wang, Yao | SAE Technical Papers | 2013
    Schlagwörter: Machine learning

    Computation of Driving Pleasure based on Driver's Learning Process Simulation by Reinforcement Learning

    Uchibe, Eiji / Doya, Kenji / Shimizu, Toshiyuki et al. | SAE Technical Papers | 2013
    Schlagwörter: Machine learning

    Using a Statistical Machine Learning Tool for Diesel Engine Air Path Calibration

    Winward, Edward / Mohd Azmin, Farraen / Rutledge, John et al. | SAE Technical Papers | 2014
    Schlagwörter: Machine learning

    UAS Behaviour and Consistency Monitoring System for Countering Cyber Security Threats

    Economou, John / Knowles, Kevin / Felix, Rodrigo | SAE Technical Papers | 2014
    Schlagwörter: Machine learning

    Vibration Comfort Control for HEV Based on Machine Learning

    Watzenig, Daniel / Zehetner, Josef / Radmilovic, Zoran | SAE Technical Papers | 2014
    Schlagwörter: Machine learning

    Thin-Walled Compliant Mechanism Component Design Assisted by Machine Learning and Multiple Surrogates

    Tovar, Andres / Detwiler, Duane / Nutwell, Emily et al. | SAE Technical Papers | 2015
    Schlagwörter: Machine learning

    Flow Field Data Mining Based on a Compact Streamline Representation

    Graening, Lars / Ramsay, Thomas | SAE Technical Papers | 2015
    Schlagwörter: Machine learning

    The Artificial Intelligence Application Strategy in Powertrain and Machine Control

    Jackson, Jonathan / Ge, Xinyu | SAE Technical Papers | 2015
    Schlagwörter: Machine learning

    Self-Learning Control Strategy for Electrified Off-Highway Machines to Optimize Energy Efficiency

    Pohlandt, Christian / Geimer, Marcus | SAE Technical Papers | 2015
    Schlagwörter: Machine learning

    A Supervisory Learning Based Two-Wheeler Drive Pattern

    Ganesan, Anand / Jasti, Kiran / Banerjee, Soham et al. | SAE Technical Papers | 2015
    Schlagwörter: Machine learning

    Methods for Prediction, Simulation and Verification of Real-Time Software Architectural Design based on Machine Learning Algorithms

    El-Faramawy, Ibrahim / Elmawazini, Mohamed / Taie, Mostafa Anwar | SAE Technical Papers | 2015
    Schlagwörter: Machine learning

    Recognizing Manipulated Electronic Control Units

    Weimerskirch, Andre / Wasicek, Armin | SAE Technical Papers | 2015
    Schlagwörter: Machine learning

    The Detection of Visual Distraction using Vehicle and Driver-Based Sensors

    Schwarz, Chris / Gaspar, John / Lee, John et al. | SAE Technical Papers | 2016
    Schlagwörter: Machine learning

    “Ease of Driving” Road Classification for Night-time Driving Conditions

    Oguchi, Kentaro / Pillai, Preeti J. / Yalla, Veeraganesh | SAE Technical Papers | 2016
    Schlagwörter: Machine learning

    An Unsupervised Machine-Learning Technique for the Definition of a Rule-Based Control Strategy in a Complex HEV

    Spessa, Ezio / Venditti, Mattia / Finesso, Roberto | SAE Technical Papers | 2016
    Schlagwörter: Machine learning

    Development of a Device that Detects Knocking by Analyzing Engine Radiation noise

    Komaba, Kenichi / Otaka, Masayoshi / Kasahara, Taro | SAE Technical Papers | 2016
    Schlagwörter: Machine learning

    On Board Evaluation System for Advanced Driver Assistance Systems

    ElHelw, Mohamed / Taie, Mostafa Anwar | SAE Technical Papers | 2016
    Schlagwörter: Machine learning

    Remote Diagnosis, Maintenance and Prognosis for Advanced Driver Assistance Systems Using Machine Learning Algorithms

    Moawad, Eman Magdy / ElHelw, Mohamed / Diab, Mohammed et al. | SAE Technical Papers | 2016
    Schlagwörter: Machine learning

    Gain Customer Insights Using NLP Techniques

    Gokul, K. / Akella, Kanna / Choi, Keunho et al. | SAE Technical Papers | 2017
    Schlagwörter: Machine learning

    A Method of Reporting and Prioritizing Faults for Aircraft Downtime Reduction

    Barkat, Mohammad / N, Pradeep / Karan, Vivek | SAE Technical Papers | 2017
    Schlagwörter: Machine learning

    Predictive Analytics in Automobile Industry: A Comparison between Artificial Intelligence and Econometrics

    Krishnamurthy, Sridharan / Narasimhan, Srinivasan / Shalini, Velappan | SAE Technical Papers | 2017
    Schlagwörter: Machine learning

    Recognizing Driver Braking Intention with Vehicle Data Using Unsupervised Learning Methods

    Lv, Chen / Cao, Dongpu / Wang, Hong et al. | SAE Technical Papers | 2017
    Schlagwörter: Machine learning

    Technology from Highly Automated Driving to Improve Active Pedestrian Protection Systems

    Watzenig, Daniel / Schratter, Markus / Wimmer, Peter et al. | SAE Technical Papers | 2017
    Schlagwörter: Machine learning

    Machine Health Prediction Enhancement Using Machine Learning

    Jalluri, Chandra / Kalamdani, Rajeev / Clifton, Robert et al. | SAE Technical Papers | 2017
    Schlagwörter: Machine learning

    Planning Flexible Maintenance for Heavy Trucks using Machine Learning Models, Constraint Programming, and Route Optimization

    Biteus, Jonas / Lindgren, Tony | SAE Technical Papers | 2017
    Schlagwörter: Machine learning

    SmartDeviceLink as an Open Innovation Platform for Connected Car Features and Mobility Applications

    Yeung, Jeffrey / Gusikhin, Oleg / Makke, Omar et al. | SAE Technical Papers | 2017
    Schlagwörter: Machine learning

    Driver Identification Using Multivariate In-vehicle Time Series Data

    Luo, Dawei / Guo, Gang / Lu, Jianbo | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    An Analysis of ISO 26262: Machine Learning and Safety in Automotive Software

    Czarnecki, Krzysztof / Salay, Rick / Queiroz, Rodrigo | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Toward a Framework for Highly Automated Vehicle Safety Validation

    Wagner, Michael / Koopman, Philip | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Personalized Driver Workload Estimation in Real-World Driving

    Kochhar, Dev S. / Murphey, Yi / Xie, Yongquan | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Practical Approaches for Detecting DoS Attacks on CAN Network

    Sambranikar, Meghana / SS, Narendra Kumar / Kalyanasundaram, Pallavi et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Development of 80- and 100- Mile Work Day Cycles Representative of Commercial Pickup and Delivery Operation

    Duran, Adam / kresse, John / Li, Ke et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Estimation of Vehicle Tire-Road Contact Forces: A Comparison between Artificial Neural Network and Observed Theory Approaches

    Victorino, Alessandro / Alatorre, Angel / Sandu, Corina et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    A Machine Learning-Genetic Algorithm (ML-GA) Approach for Rapid Optimization Using High-Performance Computing

    Moiz, Ahmed Abdul / Probst, Daniel / Kodavasal, Janardhan et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Using Machine Learning to Guide Simulations Over Unique Samples from Trip Profiles

    Kapadia, Jimmy / Ahmed, N Khalid | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Decisions in Highly Automated Vehicles for Passing Urban Intersections with Support Vector Machines

    Hsu, Tsung-Ming / Wang, Wei-Jen | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    ERRATUM: Classification of Contact Forces in Human-Robot Collaborative Manufacturing Environments

    Drouot, Adrien / Zhao, Ran / Ratchev, Svetan | SAE Technical Papers | 2018
    Schlagwörter: Machine learning

    Handling Deviation for Autonomous Vehicles after Learning from Small Dataset

    Peng, Gaoliang / Guo, Longxiang / Wang, Weitian et al. | SAE Technical Papers | 2018
    Schlagwörter: Machine learning